Best IT Management Software for AWS Auto Scaling

Optimize IT Management with New Relic: Empower strategic oversight and elevate operational excellence. Transform your IT management approach with New Relic’s advanced observability platform, offering unmatched visibility and control across your IT landscape. Designed for software engineering practitioners, our solution integrates data from all systems, providing a comprehensive view to streamline operations, support informed decision-making, and drive key business outcomes. Monitor performance in real-time, resolve issues proactively, and optimize resource allocation with actionable insights. Strengthen collaboration between IT and business units, align technology investments with strategic objectives, and confidently navigate the complexities of today’s IT environments. With New Relic, IT management becomes a strategic asset, enabling growth and innovation while sustaining operational efficiency.

Amazon DynamoDB, a key-value and document databank, delivers single-digit millisecond performance on any scale. It is a fully managed, multiregional, multimaster, durable database that offers built-in security, backup, restore, and in-memory cache for internet-scale apps. DynamoDB can process more than 10 trillion requests per hour and can handle peak requests of more than 20,000,000 requests per second. Many of the fastest-growing businesses in the world, such as Lyft, Redfin, and Airbnb, as well as enterprises like Samsung, Toyota and Capital One, rely on DynamoDB's scale and performance to support mission-critical workloads.

AWS offers a wide range of services, including database storage, compute power, content delivery, and other functionality. This allows you to build complex applications with greater flexibility, scalability, and reliability. Amazon Web Services (AWS), the world's largest and most widely used cloud platform, offers over 175 fully featured services from more than 150 data centers worldwide. AWS is used by millions of customers, including the fastest-growing startups, large enterprises, and top government agencies, to reduce costs, be more agile, and innovate faster. AWS offers more services and features than any other cloud provider, including infrastructure technologies such as storage and databases, and emerging technologies such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things. It is now easier, cheaper, and faster to move your existing apps to the cloud.

Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.

Amazon CloudWatch is a monitoring service that provides observability and data for developers, DevOps engineers, site reliability engineers (SREs), IT managers, and other users. CloudWatch gives you data and actionable insights that will help you monitor your applications, respond quickly to system-wide performance changes and optimize resource utilization. It also provides a unified view on operational health. CloudWatch gathers operational and monitoring data in the form logs, metrics and events. This gives you a single view of AWS resources, applications and services that are hosted on AWS and on-premises. CloudWatch can be used to detect anomalous behavior, set alarms, visualize logs side-by, take automated actions, troubleshoot problems, and uncover insights to help you keep your applications running smoothly.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

RadView WebLOAD is a leading enterprise AI-based performance and load testing solution for testing web, mobile, and packaged applications. It supports over 150 protocols and technologies, including all common front-end frameworks, APIs, message queues, and databases, enabling load testing across any enterprise technology stack. RadView WebLOAD.AI, is available as SaaS and can also be self-hosted in the cloud or on-premise. It is highly scalable and can simulate hundreds of thousands of concurrent users from different locations and cloud platforms. Smart and easy generation of reliable tests and its powerful AI-based analytics capabilities, RadView WebLOAD makes performance teams highly successful in detecting and quickly resolving performance issues. With built-in integration into most of the popular Testing, CI/CD and APM tools, as well as a rich API that makes it easily pluggable into any delivery pipeline. Adding its built-in flexible deployment, it makes RadView WebLOAD easily adaptable into any development, testing, or operation environment, and processes.

Jeeva's patent-pending modular system is built on the most powerful cloud platform. One login from any browser-enabled device can be used to remotely screen patients, educate, enroll, send SMS, email and generate evidence including electronic patient-reported outcomes. They are tired of waiting for patient recruitment and retention to happen. It is crucial to provide sufficient evidence of safety and efficacy for investigational new medicines in order to receive regulatory agency approval. Jeeva is a great tool for saving time and money for patients, biopharma sponsors, and long-term follow up studies for gene therapy.

Amazon EC2 Spot instances allow you to take advantage of unused EC2 capacity within the AWS cloud. Spot Instances can be purchased at up to 90% off the On-Demand price. Spot Instances can be used for many stateless, fault-tolerant or flexible applications, such as big data and containerized workloads. Spot Instances can be used to launch and maintain applications that are running on AWS services like CloudFormation (EMR, ECS), CloudFormation, Data Pipeline, Data Pipeline, CloudFormation and AWS Batch. To further optimize workload cost and performance, Spot Instances can be combined with On-Demand, Savings Plans Instances, RIs, and RIs. Spot Instances are able to offer the scale and cost savings necessary to run hyper-scale workloads due to AWS's operating scale.

Beats is an open platform that allows single-purpose data shippers to use. They can send data from thousands or hundreds of machines and systems to Logstash and Elasticsearch. Beats are open-source data shippers that you can install on your servers to send operational information to Elasticsearch. Elastic offers Beats to capture data and event logs. Beats can send data directly via Elasticsearch or Logstash. There you can further process the data and enhance it before visualizing it in Kibana. You can quickly get up and running with infrastructure metrics monitoring or centralized log analytics. You can try the Metrics and Logs apps in Kibana. For more information, see Analyze metrics or Monitor logs. Filebeat allows you to easily forward and centralize logs from any source, including security devices, cloud containers, hosts, and OT.